Predicting MicroRNA Target Genes and Identifying Hub Genes in IIA Stage Colon Cancer Patients Using Bioinformatics Analysis.

ABSTRACT:

Background

Colon cancer is a heterogeneous disease, differing in clinical symptoms, epigenetics, and prognosis for each individual patient. Identifying the core genes is important for early diagnoses and it provides a more precise method for treating colon cancer.

Materials and methods

In this study, we wanted to pinpoint these core genes so we obtained GSE101502 microRNA profiles from the GEO database, which resulted in 17 differential expressed microRNAs that were identified by GEO2R analysis. Then, 875 upregulated and 2920 downregulated target genes were predicted by FunRich. GO and KEGG pathway were used to do enrich analysis.

Results

GO analysis indicated that upregulated genes were significantly enriched in the regulation of cell communication and signaling and

SUBMITTER: Dong Z 

PROVIDER: S-EPMC6383401 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature